Neural Networks and Learning Machines
Material type:
TextPublication details: New Delhi Pearson Pub. 2016Edition: 3rdDescription: 918pISBN: - 9789332570313
- 006.32 HAY-N
| Item type | Current library | Collection | Call number | URL | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Reference Book
|
Amity Central Library AIB | Reference | 006.32 HAY-N (Browse shelf(Opens below)) | Link to resource | Not For Loan | 31327 | ||
Books
|
Amity Central Library AIB | Text Book | 006.32 HAY-N (Browse shelf(Opens below)) | Link to resource | Available | 31328 | ||
|
Books
|
Amity Central Library AIB | Text Book | 006.32 HAY-N (Browse shelf(Opens below)) | Link to resource | Available | 31329 | ||
|
Books
|
Amity Central Library AIB | Text Book | 006.32 HAY-N (Browse shelf(Opens below)) | Link to resource | Available | 31330 |
Browsing Amity Central Library shelves, Shelving location: AIB, Collection: Text Book Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| 006.312 PUJ-D Data Mining Techniques | 006.312 PUJ-D Data Mining Techniques | 006.32 HAY-N Neural Networks and Learning Machines | 006.32 HAY-N Neural Networks and Learning Machines | 006.32 HAY-N Neural Networks and Learning Machines | 174.2 IGN-B Bioethics | 174.2 IGN-B Bioethics |
Chapter 1 Rosenblatt's Perceptron
Chapter 2 Model Building through Regression
Chapter 3 The Least-Mean-Square Algorithm
Chapter 4 Multilayer Perceptrons
Chapter 5 Kernel Methods and Radial-Basis Function Networks
Chapter 6 Support Vector Machines
Chapter 7 Regularization Theory
Chapter 8 Principal-Components Analysis
Chapter 9 Self-Organizing Maps
Chapter 10 Information-Theoretic Learning Models
Chapter 11 Stochastic Methods Rooted in Statistical Mechanics
Chapter 12 Dynamic Programming
Chapter 13 Neurodynamics
Chapter 14 Bayseian Filtering for State Estimation of Dynamic Systems
Chapter 15 Dynamically Driven Recurrent Networks
There are no comments on this title.